RELX Group NLP Data Scientist in Amsterdam, Netherlands

NLP Data Scientist

Category: IT/Technical & Product Development

Location: Amsterdam, North Holland, Netherlands

Are you a Data Scientist who is keen on using Natural Language Processing (NLP) in products that support thousands of researchers? Are you familiar with large data processing frameworks like Apache Spark, and are you eager to work with large high-quality textual datasets? We have the right opportunity for you!


Research Products is looking for a Data Scientist to work collaboratively on text processing and classification capabilities. You will have the opportunity to support bibliometric-oriented projects (analytics and classification) and work on existing and new products throughout Elsevier with NLP driven product features for customer facing products such as Pure (indexing and classification), SciVal (discovery), and Funding (classification).


You will be working in the NLP team in Research Products, which is responsible for text processing functionalities such as concept mining (indexing) and text classification for scientific article text. Many of such functionalities are delivered through the Elsevier Fingerprint Engine (FPE), a text mining toolkit with capabilities such as tagging, classification, discovery and reporting. The new position would involve development of NLP-based functionality, support to other teams and products that rely on the text analysis capabilities, and data science activities in which the FPE - combined with the vast Elsevier data assets - play an integral role. These activities include the improvement and development of semantic based matching algorithms and text classifiers.

The data scientist is expected to have the methodological skills and experience to employ various NLP techniques and to organize and wrangle large datasets from different sources for the purpose of information extraction, classification, matching/ranking, and linking. The data scientist is a member of the NLP team and works in cooperation with other teams in Research Products, such as the SciVal Content, Funding, Data, and Analytics teams.

What you should bring

  • MSc degree in Computer Science, Data Science, NLP or Computational Linguistics

  • 2+ years of industry experience, involving NLP-focused (software) development

  • A proactive team player that can tackle most task independently

  • Solid and good data science skills, shown by experience and delivered projects

  • Experience with common NLP techniques and tooling, and machine learning

  • Experience with handling large textual datasets and big data platforms such as Apache Spark.

  • Familiarity with relational databases (SQL)

  • Demonstrable experience in programming, ideally with Java, Scala, or C#/++ Familiarity with .Net and/or Asp.NET MVC would be welcome

  • Experience working in a software development team

What we offer

Elsevier offers a highly international environment, with great opportunities for personal development. Elsevier’s benefits are very competitive and the summary below will give you an idea of what you can expect when joining Elsevier in the Netherlands.

  • Competitive salary and a 13th month

  • 27 days of leave

  • Attractive collective health care insurance package with considerable reduction rates

  • Solid Pension Plan, with a choice between a collective pension plan an individual pension plan

  • Profit share or bonus plan subject to the company annual results

  • Flexible working arrangements

  • Travel allowance for commuting

  • Reductions to several personal insurance packages due to our collective agreements

  • Free in-house sport facilities

About Elsevier

As the world’s leading provider of science and health information, Elsevier serves more than 30 million scientists, students and health and information professionals worldwide. A global company headquartered in Amsterdam, employing more than 7000 people in 24 countries, we help customers advance science and health by providing world-class information and innovative tools that help them make critical decisions, enhance productivity and improve outcomes.


Our working culture is highly respectful, stimulating and diverse; enabling bright, passionate people to do their best work. We offer challenging but realistic objectives, recognition for achievement, and the opportunity to challenge the status quo. We're a truly global company, working across geographies everyday with our people sharing a passion for health and science. Our people are pragmatic, commercial, work collaboratively and are excellent relationship builders. We offer an opportunity to make a difference in people's lives by helping the health and science communities find and use trusted, high-quality information.